OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Jul 29, 2024 - Python
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
Accelerated minigrid environments with JAX
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
Solving games with reinforcement learning
An environement builder for hierarchical reasoning research
Project for the course Deep Learning and Applied AI a.y. 2021/2022, Dept. of Computer Science, Prof. Emanuele Rodolà
Learning Visual Embeddings for Reinforcement Learning
Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment 🔑
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